Evaluating the Attraction of Scenic Spots Based on Tourism Trajectory Entropy
Abstract
:1. Introduction
1.1. Post-Evaluation of Attraction
1.2. Outline of the Article
2. Literature Review
2.1. The Destination Attraction
2.2. The Application of GPS in Tourism
2.3. Network Analysis in Tourism
2.4. The Application of Information Entropy
3. Methodology
3.1. Study Area and Data
3.2. Conceptual Framework
3.3. Information Entropy
3.4. Linear Normalization
4. Results
4.1. The Identification of Local Tourists (Lo-Tour) and Visiting Tourists (NLo-Tour)
- (1)
- Among the 125 tourists, 67 were local tourists, and 58 were visiting tourists, with local tourists slightly exceeding visiting tourists.
- (2)
- For tourists that visit zero scenic spots, the trajectory distribution of local and visiting tourists is often more concentrated, which means that most local tourists choose to relax during their rest time and travel around their homes. However, visiting tourists choose to relax and explore the surrounding areas near the hotel.
- (3)
- For tourists that visit a few scenic spots, the trajectories of local tourists are often scattered, while the trajectories of visiting tourists are often concentrated. Considering the familiarity that local tourists have with the area, the visiting range will be larger; on the other hand, visiting tourists will choose hotels with many scenic spots to stay in, and then choose places near these hotels for leisure tourism, leading to a relatively concentrated trajectory distribution.
- (4)
- For tourists that visit many scenic spots, whether local or visiting, there is a relatively scattered trajectory distribution, which is directly related to the number of scenic spots and conforms to a major characteristic of multiple scenic spots.
- (5)
- The concentration and dispersion distribution differences between local tourist trajectories are relatively small. However, for visiting tourists, what is more obvious is that the trajectory of most tourists is concentrated.
- (6)
- In terms of the number of scenic spots visited, local and visiting tourists have the highest proportion of visiting only a few scenic spots, about 60%; followed by non-scenic spot, accounting for more than 20%; and multiple scenic spots, accounting for less than 20%. This indicates that over 20% of tourists choose non-scenic leisure tours.
- (1)
- For local tourists, the Dadonghai Tourist Area, the Coconut Dream Corridor, the Luhuitou Peak Park, and the Yalong Bay Tropical Paradise Forest Park are the most popular scenic spots; Yazhou Ancient City is more likely to be repeatedly visited.
- (2)
- For visiting tourists, the Nanshan Cultural Tourism Zone, the Tianya Haijiao Tourist Area, the Yalong Bay Tropical Paradise Forest Park, the Luhuitou Peak Park, and the Dadonghai Tourist Area are the most popular scenic spots; the Coconut Dream Corridor is more likely to be repeatedly visited.
- (3)
- From the analysis results, it can be seen that local tourists have lower enthusiasm for the Nanshan Cultural Tourism Zone and Tianya Haijiao Tourism Area compared to visiting tourists.
- (4)
- Yazhou Ancient City is a scenic spot that is frequently visited by local tourists but rarely visited by visiting tourists. It is speculated that this is because the scenic spot is not well known to the public.
4.2. Attraction Index of Scenic Spots
4.2.1. Regression Model
4.2.2. Tourism Entropy
4.2.3. Comparative Analysis of Tourism Entropy and Regression Models
4.2.4. Attraction Index Rating of Scenic Spots
- (1)
- Scenic spots with higher A-level generally have higher attraction, meaning that the attraction of scenic spots is significantly influenced by their level.
- (2)
- A-level or above scenic spots will not decrease their attraction due to high ticket prices, which means that the attraction of scenic spots will not be significantly affected by ticket prices.
- (3)
- Due to inconvenient transportation, the attraction of some A-level and above scenic spots has been seriously affected, which means that the attraction of scenic spots is more significantly affected by transportation convenience.
4.3. Tourist Experience Index
4.4. Network Relationship between Scenic Spots
5. Conclusions and Discussion
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
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Number of scenic spots (Sm) | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
Number of trajectories (NTrSm) | 775 | 620 | 95 | 44 | 15 | 2 | 1 | 1 |
Concentration | Dispersion | Total (Proportion%) | ||
---|---|---|---|---|
Local tourists (67 people) | Non-scenic spot | 12 | 4 | 16 (24%) |
Few scenic spots | 18 | 21 | 39 (58%) | |
Multi scenic spots | 3 | 9 | 12 (18%) | |
Total | 33 | 34 | 67 | |
Visiting tourists (58 people) | Non-scenic spot | 11 | 1 | 12 (21%) |
Few scenic spots | 21 | 16 | 37 (64%) | |
Multi scenic spots | 1 | 8 | 9 (15%) | |
Total | 33 | 25 | 58 |
Number of Visits by Local Tourists | Number of Local Tourists | Average Number of Visits per Local Tourist | Number of Visits by Visiting Tourists | Number of Visiting Tourists | Average Number of Visits per Visiting Tourist | |
---|---|---|---|---|---|---|
1 Yazhou Ancient City | 18 | 5 | 3.6 | 15 | 7 | 2.1 |
2 Daxiao Dongtian Tourist Area | 17 | 12 | 1.4 | 10 | 6 | 1.7 |
3 Nanshan Cultural Tourism Zone | 19 | 15 | 1.3 | 33 | 16 | 2.1 |
4 Tianya Haijiao Tourist Area | 26 | 15 | 1.7 | 27 | 16 | 1.7 |
5 West Island | 0 | 0 | 0.0 | 3 | 3 | 1.0 |
6 Coconut Dream Corridor | 34 | 12 | 2.8 | 24 | 11 | 2.2 |
7 Luhuitou Peak Park | 31 | 17 | 1.8 | 17 | 14 | 1.2 |
8 Xiaodonghai Tourist Area | 22 | 11 | 2.0 | 4 | 3 | 1.3 |
9 Dadonghai Tourist Area | 48 | 21 | 2.3 | 16 | 14 | 1.1 |
10 Sanya’s Eternal Love | 5 | 5 | 1.0 | 5 | 4 | 1.3 |
11 Luobi Cave | 20 | 9 | 2.2 | 1 | 1 | 1.0 |
12 Li Village Miao Village | 7 | 6 | 1.2 | 6 | 5 | 1.2 |
13 Yalong Bay Tropical Paradise Forest Park | 24 | 16 | 1.5 | 25 | 12 | 2.1 |
14 Rice National Park | 2 | 2 | 1.0 | 6 | 5 | 1.2 |
15 Wuzhizhou Island Tourist Area | 3 | 3 | 1.0 | 6 | 5 | 1.2 |
16 Baoping Village | 7 | 2 | 3.5 | 9 | 6 | 1.5 |
17 Ocean Ecological Sports Resort Park | 20 | 9 | 2.2 | 1 | 1 | 1.0 |
Scenic Spot | Attraction Index | Ticket Price Unit: CNY (A-Level) | Types of Scenic Spots (1: Natural Landscape. 2: Cultural Heritage. 3: Leisure and Entertainment) |
---|---|---|---|
5 West Island | 0.00 | 95 (4A) | 3 |
1 Yazhou Ancient City | 0.13 | 0 | 2 |
16 Baoping Village | 0.16 | 0 | 2 |
17 Ocean Ecological Sports Resort Park | 0.18 | 0 | 1 |
11 Luobi Cave | 0.22 | 0 | 1 |
6 Coconut Dream Corridor | 0.29 | 0 | 3 |
15 Wuzhizhou Island Tourist Area | 0.37 | 140 (5A) | 3 |
8 Xiaodonghai Tourist Area | 0.39 | 0 | 3 |
12 Li Village Miao Village | 0.40 | 0 | 2 |
10 Sanya’s Eternal Love | 0.43 | 280 | 2 |
14 Rice National Park | 0.48 | 30 (4A) | 1 |
2 Daxiao Dongtian Tourist Area | 0.63 | 0 (5A) | 1 |
9 Dadonghai Tourist Area | 0.73 | 0 (4A) | 3 |
7 Luhuitou Peak Park | 0.73 | 0 (4A) | 1 |
3 Nanshan Cultural Tourism Zone | 0.81 | 122 (5A) | 2 |
4 Tianya Haijiao Tourist Area | 0.83 | 0 (4A) | 3 |
13 Yalong Bay Tropical Paradise Forest Park | 1.00 | 148 (4A) | 1 |
Experience Index Interval | Number of Tourists | Proportion (%) |
---|---|---|
0–0.25 | 62 | 0.50 |
0.26–0.50 | 39 | 0.31 |
0.51–0.75 | 13 | 0.10 |
0.76–1 | 11 | 0.09 |
Total (unit: person) | 125 | 1.00 |
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Huang, Q.; Xia, L.; Li, Q.; Xia, Y. Evaluating the Attraction of Scenic Spots Based on Tourism Trajectory Entropy. Entropy 2024, 26, 607. https://doi.org/10.3390/e26070607
Huang Q, Xia L, Li Q, Xia Y. Evaluating the Attraction of Scenic Spots Based on Tourism Trajectory Entropy. Entropy. 2024; 26(7):607. https://doi.org/10.3390/e26070607
Chicago/Turabian StyleHuang, Qiuhua, Linyuan Xia, Qianxia Li, and Yixiong Xia. 2024. "Evaluating the Attraction of Scenic Spots Based on Tourism Trajectory Entropy" Entropy 26, no. 7: 607. https://doi.org/10.3390/e26070607